Objective To screen ferroptosis genes related to the prognosis of cervical cancer and to construct a prognosis model. Methods Ferroptosis genes were obtained from FerrDb database, and cervical cancer related data were obtained from The Genome-Wide Association Study Catalog database and The Cancer Genome Atlas database. Transcriptome-Wide Association Study, colocalization analysis and differential expression analysis were conducted to screen out candidate ferroptosis genes; Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were conducted on candidate genes. Univariate Cox regression analysis was used to further screen out genes related to the prognosis of cervical cancer. Kaplan-Meier method was used to analyze the relationship between genes and the overall survival of patients. The expression levels of genes in pan-cancer were analyzed through the TIMER database. Two prognostic models were conducted, Model 1 included age and tumor stage, while Model 2 incorporated age, tumor stage, and prognostic genes. The predictive capabilities of the two models were compared. Results A total of 91 candidate genes related to ferroptosis were obtained. Univariate Cox regression analysis showed that 15 genes were associated with the prognosis of cervical cancer. CA9, SCD, TFRC, QSOX1 and CDO1 were risk factors affecting the prognosis of cervical cancer patients (P＜0.05), while PTPN6, ALOXE3, HELLS, IFNG, MIOX, ALOX12B, DUOX1, ALOX15, AQP3 and IDO1 were protective factors (P＜0.05). The mRNA expression levels of the 15 genes showed significant upregulation or downregulation in at least 7 types of cancers, among which TFRC was associated with the largest number of cancer types. Kaplan-Meier analysis showed that HELLS, DUOX1 and ALOXE3 were associated with poor prognosis in cervical cancer. The AUC of the model 1 for predicting 1-year and 3-year overall survival rates of cervical cancer patients was 0.455 and 0.478, and the AUC of Model 2 was 0.854 and 0.595. Model 2 (C-index = 0.727) had better predictive ability than Model 1 (C-index = 0.502). Conclusion The prognostic model composed of 15 prognostic-related genes selected based on bioinformatics has better predictive performance for the survival outcomes of cervical cancer patients, providing important reference value for the prognostic assessment of cervical cancer patients.

ObjectiveTo understand the whole genome characteristics and the information for genetic evolution in the two coxsackievirus A2 (CVA2) strains isolated from patients with herpangina in Shanghai, and to provide a scientific basis for the prevention and treatment of herpetic angina. MethodsTwo CAV2 strains isolated from patients with herpetic angina in Shanghai were performed whole genome sequencing and analysis for phylogenetics, nucleotide homology, and evolution. ResultsA phylogenetic analysis of the VP1 region revealed that the two Shanghai strains both belonged to CVA2 genotype D, with the highest homology to OL357660, a strain from Yunnan. The average nucleotide identity (ANI) of the whole genome between the two Shanghai strains was 98.88%, and the ANI of the whole genome comparisons to other CVA2 genotype D strains and CVA2 genotypes A-C strains ranged from 84.64% to 97.42% and from 79.21% to 84.20%, respectively. The two Shanghai strains had low homology in the 3D region compared to the existing CVA2 strains. The phylogenetic analysis and sliding window nucleotide similarity analysis indicated that the two Shanghai strains and the Yunnan OL357660 strain might constitute a new genetic lineage. ConclusionThe two CVA2 strains isolated for the first time in Shanghai are assigned to genotype D (GenBank: PQ130039 and PQ130040), which is identical to the existing subtype prevalent in China. As represented by the Shanghai strains, a new CVA2 genetic lineage is been identified. This study has enriched the data on genetic evolution and genetic variation of CVA2 in Shanghai, indicating the requirement to strengthen surveillance for the epidemiological pattern of CVA2.

OBJECTIVE To innovatively apply the pre-intelligent precision dosing and verification system （hereinafter referred to as “the system”）， and to provide a reference for the high-level “intelligent” transformation of inpatient pharmacy. METHODS The limitations of the triple-serial dispensing mode， which comprised the automatic medicine packaging machine （ATC）， intelligent tablet dispensing table （ITDT） and medication detection machine （MDM）， were analyzed. The application of the system and the adoption of the barcode scanning verification method optimized the pre-dosing management， whole-tablet drug dispensing process and ATC temporary dosing management. The comparative analysis was conducted to assess dosing time， labor cost and packaging error of the eight-month period， before and after the system application. RESULTS The triple-serial dispensing mode had a weak ability to avoid error risks in the manual dosing stage， and also had errors in the verification stage. Through the innovative application system， the pre-dosing management had been upgraded， the whole-tablet drug dispensing process had been optimized， and the ATC temporary dosing management had been improved. The average time required for each drug for pre-dosing， whole-tablet drug dispensing and ATC temporary dosing was significantly shortened after the application of the system， compared with before the application of the system （P＜0.001）. The number of pharmacists was reduced from two to one. The error rate of ATC decreased significantly from 0.220‰ to 0.029‰ （P＜0.001）. Specifically， the rate of pharmacist-related errors （pre-dosing error， ITDT dosing error， and ATC temporary dosing error） decreased from 0.116‰ to 0.001‰ （P＜0.001）， and machine-related errors decreased from 0.096‰ to 0.023‰ （P＜0.001）. CONCLUSIONS This innovative integration mode greatly improves the working efficiency and quality of inpatient pharmacy. It enhances refined management of drug expiration and inventory， saves time and labor costs， improves the accuracy of drug dispensing， and ensures patient medication safety.

Objective　To conduct a genotypic analysis of dengue virus in Gengma County, Yunnan Province, located in the China-Myanmar border region in 2023, and provide a reference for developing effective clinical diagnosis and treatment strategies for dengue fever in the region. Methods Serum samples were collected from hospitalized patients testing positive for dengue NS1 antigen, and dengue virus nucleic acid was detected using real-time quantitative PCR (qPCR). Nucleic acid-positive samples underwent cell culture and sequencing analysis of the dengue virus E gene to determine the origin of the virus. Results Specific nucleic acid detection was performed in 86 NS1-positive serum samples, 75 samples tested positive for dengue virus serotype 1 (DENV-1), 6 samples for serotype 2 (DENV-2), and 5 samples were DENV-negative. Twelve DENV-1 and four DENV-2 strains were obtained by blind cell culture transmission for 3 generations. Sequencing of E gene sequences (1 485 bp) of 16 strains showed that the nucleotide similarity of 12 DENV-1 E gene sequences ranged from 99.3% to 100.0%, with amino acid homology of 99.8% to 100.0%. For the 4 DENV-2 E gene sequences, the nucleotide similarity ranged from 99.7% to 99.9%, and amino acid homology ranged from 99.0% to 99.8%. Phylogenetic analysis showed that 12 DENV-1 strains belonged to genotype I, while 4 DENV-2 strains belonged to the Asian-II genotype. Conclusion The dengue fever outbreak in Gengma County, Yunnan Province, China, the China-Myanmar border area, was mainly caused by dengue virus 1 genotype I and dengue virus 2 genotype Asian-II. Both dengue virus 1 and 2 may have similar original strains from Guangzhou, China in 2023. It was recommended that local relative departments should strengthen the monitoring of dengue fever.

Objective To explore the characteristics of myocardial injury in patients with acute myocardial infarction(AMI)complicated by pleural effusion and its effect on long-term prognosis.Methods It was a prospective single-center study.Patients with AMI who were admitted to hospital within 15 days from symptom onset and performed echocardiography and cardiac magnetic resonance imaging(CMR)during hospitalization were consecutively enrolled and assigned to the with-pleural effusion group and the without-pleural effusion group according to the echocardiography result.Baseline data,cardiac magnetic resonance myocardial injury index and echocardiography characteristics were compared between the two groups.The occurrence of major adverse cardiovascular and cerebrovascular events(MACCE)was recorded through outpatient follow-up and telephone follow-up,including all-cause death,re-infarction,revascularization,rehospitalization for congestive heart failure and stroke.Cox regression analysis was performed to analyze influencing factors of all-cause death.Results Among 211 patients,31(14.7%)patients had pleural effusion and 180(85.3%)had no pleural effusion.Compared with the group without pleural effusion,the left ventricular end-diastolic diameter was larger,and left ventricular ejection fraction assessed by echocardiography was lower in the group with pleural effusion(P＜0.05).There were no significant differences in infarct size,left ventricular end-diastolic volume,left ventricular end-systolic volume,left ventricular ejection fraction and the presence of microvascular obstruction and intramyocardial hemorrhage between the two groups in CMR(all P＞0.05).At a median follow-up of 31 months,MACCE occurred in 43(20.4%)patients,and there was no significant difference between the two groups(χ2=3.160,P=0.075).Six cases(2.8%)had all-cause death.The incidence of all-cause death was higher in the group with pleural effusion than that in the group without pleural effusion(9.7%vs.1.7%,P<0.05).There was no significant difference in the incidence of other adverse events between the two groups(P＞0.05).Multivariate Cox regression analysis showed that advanced age and presence of pleural effusion were independent risk factors of all-cause death during follow-up.Conclusion Patients with AMI combined with pleural effusion have more severe myocardial injury and higher all-cause mortality.

As a microbial therapy method, fecal microbiota transplantation (FMT) has attracted the attention of researchers in recent years. As one of the most direct and effective methods to improve gut microbiota, FMT achieves therapeutic benefits by transplanting functional gut microbiota from healthy human feces into the intestines of patients to reconstruct new gut microbiota. FMT has been proven to be an effective treatment for gastrointestinal diseases such as Clostridium difficile infection, irritable bowel syndrome, and inflammatory bowel disease. In addition, the clinical and basic research of FMT outside the gastrointestinal system is also emerging. It is worth noting that there is bidirectional communication between the gut microbial community and the central nervous system (CNS) through the gut-brain axis. Some gut bacteria can synthesize and release neurotransmitters such as glutamate, gamma-aminobutyric acid (GABA) and dopamine. Imbalanced gut microbiota may interfere with the normal levels of these neurotransmitters, thereby affecting brain function. Gut microbiota can also produce metabolites that may cross the blood-brain barrier and affect CNS function. FMT may affect the occurrence and development of CNS and its related diseases by reshaping the gut microbiota of patients through a variety of pathways such as nerves, immunity, and metabolites. This article introduces the development of FMT and the research status of FMT in China, and reviews the basic and clinical research of FMT in neurodegenerative diseases (Alzheimer’s disease, Parkinson’s disease), neurotraumatic diseases (spinal cord injury, traumatic brain injury) and stroke from the characteristics of three types of nervous system diseases, the characteristics of intestinal flora, and the therapeutic effect and mechanism of fecal microbiota transplantation, summarize the common mechanism of fecal microbiota transplantation in the treatment of CNS diseases and the therapeutic targets. We found that the common mechanisms of FMT in the treatment of nervous system diseases may include the following 3 categories through summary and analysis. (1) Gut microbiota metabolites, such as SCFAs, TMAO and LPS. (2) Inflammatory factors and immune inflammatory pathways such as TLR-MyD88 and NF-κB. (3) Neurotransmitter 5-HT. In the process of reviewing the studies, we found the following problems. (1) In basic researches on the relationship between FMT and CNS diseases, there are relatively few studies involving the autonomic nervous system pathway. (2) Clinical trial studies have shown that FMT improves the severity of patients’ symptoms and may be a promising treatment for a variety of neurological diseases. (3) The improvement of clinical efficacy is closely related to the choice of donor, especially emphasizing that FMT from healthy and young donors may be the key to the improvement of neurological diseases. However, there are common challenges in current research on FMT, such as the scientific and rigorous design of FMT clinical trials, including whether antibiotics are used before transplantation or different antibiotics are used, as well as different FMT processes, different donors, different functional analysis methods of gut microbiota, and the duration of FMT effect. Besides, the safety of FMT should be better elucidated, especially weighing the relationship between the therapeutic benefits and potential risks of FMT carefully. It is worth mentioning that the clinical development of FMT even exceeds its basic research. Science and TIME rated FMT as one of the top 10 breakthroughs in the field of biomedicine in 2013. FMT therapy has great potential in the treatment of nervous system diseases, is expected to open up a new situation in the medical field, and may become an innovative weapon in the medical field.

Individuals with type 1 diabetes or advanced type 2 diabetes suffer insufficient insulin secretion, leading to symptoms of hyperglycemia. To maintain the normal blood glucose levels, those people with diabetes must administer insulin multiple times a day. However, insulin requirements are influenced by several factors such as diet, exercise, and illness, combined with the narrow therapeutic index, making accurate insulin dosage challenging. Excessive insulin administration can even pose life-threatening risks. In addition, frequent daily insulin injections place considerable physiological and psychological burdens on patients. To tackle these challenges, researchers have embarked on the development of closed-loop insulin delivery systems. These systems adjust insulin dosages in real-time changes based on the patient’s blood glucose levels, therefore enhancing both the safety and effectiveness of insulin therapy. This review categorizes closed-loop insulin delivery systems into two types: electronic-based and material-based systems, based on their compositional attributes. The exploration of both types covers their components, developmental history, clinical applications, current pros and cons, and future directions. The relative strengths and limitations of these two categories of closed-loop insulin delivery systems are also compared and discussed.

OBJECTIVE To evaluate the effectiveness and safety of Panlongqi tablets in the treatment of fractures based on real-world research. METHODS From September 2021 to September 2023， fracture patients admitted to 33 medical institutions were collected retrospectively. Patients who received conventional treatment were divided into control group （n＝3 750）， and patients who received combination of Panlongqi tablets on the basis of conventional treatment were divided into observation group （n＝ 3 706）. Self-reported indicators of patients were collected through telephone follow-up at 0， 4， 7 and 14 days after treatment. The improvement values of pain score， swelling score and health utility value， as well as effective rate and adverse drug reactions were compared between 2 groups. The propensity matching score （PSM） method was adopted to perform baseline matching on patient’s age， gender， fracture site， fracture severity， surgical type， type of hospital， and other indicators. Statistical analysis was performed on each therapeutic effect indicator. RESULTS After PSM， a total of 6 425 patients were included， of which 3 055 were in the observation group and 3 370 were in the control group. After 14 days of treatment， the observation group showed significant improvement in pain score （4.768 vs. 4.353）， swelling fangshiyuan2008@126.com grading score （2.979 vs. 2.391）， and life quality utility value （0.430 vs. 0.363）， as well as effective rate （87.20% vs.75.99%） compared to the control group （P＜0.05）. The results of subgroup analyses conducted by gender， age， hospital type， and fracture site were consistent with the aforementioned results. In terms of safety， the observation group had no serious adverse reactions， with a total of 29 cases of mild adverse reactions such as dizziness， stomach pain， and allergies， with an incidence rate of 0.78%. CONCLUSIONS Panlongqi tablets combined with conventional treatment are significantly better than conventional treatment in improving pain， swelling， quality of life， and effective rate in patients with fractures， and have good safety.

Based on the long bud stage phenotype of a new Lonicera japonica Flos variety "Huajin 6", using "Huajin 6" and "Da Mao Hua" as materials, probing the mechanism of its phenotype formation. Detection of endogenous Jasmonic acid hormones (JAs) content; the genes related to jasmonic acid (JA) synthesis were identified by transcriptome analysis of Lonicera japonica; flower buds and flowers of "Huajin 6" and "Da Mao Hua" were collected at different periods, and the qRT-PCR (quantitative real-time PCR) technique was used to analyze the trend of the expression of synthesis-related enzyme genes in Lonicera japonica Flos during the bud stage. The study found that the content of JAs in "Huajin 6" Lonicera japonica Flos was significantly lower than that in "Da Mao Hua"; applying exogenous methyl-jasmonate (MeJA) to "Huajin 6" can restore its flowering phenotype, making it close to wild type Lonicera japonica Flos; there are significant differences in the expression of two allene oxide synthase genes (AOS), three lipoxygenase genes (LOX), and two allene oxide cyclase genes (AOC) in the flowers and buds of "Huajin 6" and "Da Mao Hua" at different periods. It is hypothesized that the low expression of JA synthesis-related enzyme genes in " Huajin 6" leads to the blockage of JA synthesis, which causes the formation of the long bud phenotype. This study laid a certain foundation for the genetic breeding of Lonicera japonica, provided a new idea for the improvement of Lonicera japonica varieties, and provided a reference for the study of JAs in plant flower organs.

The long-term efficacy and complications of implantable diaphragm pacer (IDP) in a child with cervical spinal cord injury (CSCI) in the Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center in September 2022 were retrospective analyzed.A male child had quadriplegia without an obvious cause at the age of 12 years, and he was then lived completely with the assistance of mechanical ventilation.At the age of 14 years, he could wean off the ventilator in unilateral diaphragmatic pacing mode.However, mechanical ventilation was re-given for months after 5 years due to pneumonia, and then the IDP was re-given with the self-felt decreased pacing effect.After hospitalization, the patient was examined with mild diaphragmatic atrophy, secondary flat chest, and mild scoliosis.After optimization of the transdiaphragmatic pacing threshold and rehabilitation, his respiratory function improved.IDP can be used in CSCI for long time, while flat chest and scoliosis that limited the expansion of the lungs should be considered.At the meantime, the increased abdominal spasm affected the abdominal compliance, leading to the decrease in the efficiency of the diaphragm.